msresearch-bioemu Skill
Microsoft Research's BioEmu — generates protein conformational ensembles from amino acid sequence on a local GPU. Use when users mention BioEmu by name, want to predict protein dynamics or flexibility from sequence, or are setting up / running / troubleshooting BioEmu locally. Published by microsoft in vibe-kit.
What is msresearch-bioemu Skill?
Microsoft Research's BioEmu — generates protein conformational ensembles from amino acid sequence on a local GPU. Use when users mention BioEmu by name, want to predict protein dynamics or flexibility from sequence, or are setting up / running / troubleshooting BioEmu locally. Published by microsoft in vibe-kit. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Research
- Research use cases
Technical details
- Install or run with Copy skill directory
When to use msresearch-bioemu Skill
- Use it for research.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/vibe-kit
- Skill file: skills/msresearch-bioemu/SKILL.md
What it does
Microsoft Research's BioEmu — generates protein conformational ensembles from amino acid sequence on a local GPU. Use when users mention BioEmu by name, want to predict protein dynamics or flexibility from sequence, or are setting up / running / troubleshooting BioEmu locally.
Skill instructions
Scope - Run BioEmu locally on a CUDA-capable NVIDIA GPU to sample protein conformational ensembles from amino acid sequence. - Two supported entry points: 1. CLI — pip install bioemu[cuda] and python -m bioemu.sample directly from the upstream package. 2. Reference app — the React + Flask app in assets/reference-app/. Run its bundled score/ Flask server locally on :5001, point the proxy backend at it via .env, and use the React frontend for visualization. - Analyze trajectories with MDTraj (RMSD, RMSF, Rg, secondary structure) and visualize with Molstar in the reference app. Prerequisites - Linux (or WSL2 on Windows 11 with NVIDIA GPU passthrough — install WSL per Microsoft's guide and follow NVIDIA's CUDA-on-WSL guide for driver setup) with a CUDA-capable NVIDIA GPU. CPU works only for ~10-residue toy sequences; everything else is unusably slow. - Python 3.10+, ~5 GB free disk for cached weights (AlphaFold2 weights ~3.5 GB + BioEmu checkpoint + working space) at ~/.cache/colabfold/ (C
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Frequently asked questions
What is msresearch-bioemu?
msresearch-bioemu is a open-source AI agent skill with Copy skill directory. Microsoft Research's BioEmu — generates protein conformational ensembles from amino acid sequence on a local GPU.
Who is msresearch-bioemu best for?
msresearch-bioemu is best for reusing agent instructions, scripts, and references, research workflows.
How do I install msresearch-bioemu?
Install or run msresearch-bioemu using Copy skill directory. Check msresearch-bioemu for the latest setup command.
Is msresearch-bioemu actively maintained?
msresearch-bioemu may need a closer maintenance check before production use.
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